A very large number of computational methods to predict the change in thermodynamic
stability of proteins due to mutations have been developed during the last 30 years, and …

The biggest contributor to global warming is energy production and use. Moreover, a push
for electrical vehicle and other economic developments are expected to further increase …

Machine learning (ML) has been an important arsenal in computational biology used to
elucidate protein function for decades. With the recent burgeoning of novel ML methods and …

The design of binder proteins for specific target proteins using deep learning is a
challenging task that has a wide range of applications in both designing therapeutic …

Nonsynonymous single-nucleotide polymorphisms often result in altered protein stability
while playing crucial roles both in the evolution process and in the development of human …

The semantic segmentation of point clouds has significant applications in fields such as
autonomous driving, robot vision, and smart cities. As LiDAR technology continues to …

Protein stability refers to the propensity of a protein molecule to maintain its native folded
structure under various environmental conditions. Understanding protein stability is crucial …

Protein–protein interactions (PPI) play a fundamental role in many biochemical functions
such as signal transduction, cellular organization, and cell cycle progression. Laboratory …

Abstract [eng] The amount of text data on the Internet is continuously increasing. However,
some online users are making mistakes when writing text. In case of Lithuanian language …

Finding high-affinity protein-chemical pairs is a prominent stage of the drug discovery
pipeline. However, the number of available proteins and chemicals forms an experimentally …